Abhishek Gairola

Software Engineer

Hyderabad, Telangana, India5 yrs 4 mos experience

Key Highlights

  • Expert in cloud-native solutions with AWS.
  • Proficient in backend development using Spring Boot.
  • Strong experience in data management and verification.
Stackforce AI infers this person is a Backend Engineer specializing in Cloud Computing and E-commerce solutions.

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Skills

Core Skills

Amazon Web Services (aws)Python (programming Language)Spring Boot

Other Skills

GCS SFTPSystems DesignJavaScriptTypeScript (CDK)MySQLELK stackTypeScriptCDKGo (Programming Language)kafkaRedisAlgorithmsFastAPIData StructuresJava

About

SWE @ Google

Experience

5 yrs 4 mos
Total Experience
1 yr 4 mos
Average Tenure
1 yr 3 mos
Current Experience

Google

Software Engineer

Feb 2025Present · 1 yr 3 mos · Hyderabad, Telangana, India · On-site

  • GCS SFTP
  • Provide a fully-managed, secure, and cloud-native solution for transferring data into and out of GCP using SFTP
GCS SFTPAmazon Web Services (AWS)

Zepto

Software Engineer 2

Mar 2023Jan 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

  • Home Page & Merchandising Platform
  • Worked as a backend Engineer for HPM Team. We were responsible for powering all the Product Info, managing Banner and Widgets and Homepage.
Python (Programming Language)Systems Design

Amazon

Software Engineer

May 2021Dec 2022 · 1 yr 7 mos · Bangalore Urban, Karnataka, India

  • Working at CSE Polaris , worked on Spring Boot , JS , TypeScript ( CDK ) and Python . Worked on creating a backend system via CDK to create strategy that recommends lowest Price Per Unit Product . Worked on migrating from legacy code to tier 1 API service , hence reducing the latency of the overall system . Made UI changes on Retail Website
Spring BootAmazon Web Services (AWS)JavaScriptTypeScript (CDK)Python (Programming Language)

Deutsche bank

Graduate Analyst

Aug 2020Apr 2021 · 8 mos · Bengaluru, Karnataka, India

  • Worked on KYC platform team focused on collecting and verifying huge data from multiple vendors , used Spring Boot and ELK stack for extracting data and updating our Golden Database ( Oracle ).
  • Personally worked on onboarding to a new vendor , calling their API's and creating a fallback mechanism to avoid duplication of data in our database hence avoiding API calls ( quite costly ) , wrote scripts to generate a workflows , used Kibana Dashboard for integration testing and Logstash to add new attributes to the existing Elastic Search Data
Spring BootMySQLELK stack

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech — Computer Science

Aug 2016Jun 2020

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